Virtual angiogenesis : mathematical and multiphysics approach for directed tissue engineering

Prasanna Padmanaban*, , , , J. Rouwkema

*Corresponding author for this work

    Research output: Contribution to conferenceAbstract

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    Abstract

    Background
    Adding a blood vessel network to cultured tissues is an essential step for clinical application. A physiological organization of these networks is important for the functioning of the blood vessels. Endothelial cells seeded in a hydrogel can give rise to microvascular networks. In reaction to external chemical (growth factor gradients) and mechanical forces (matrix stiffness, interstitial fluid flow), the networks grow into adjacent empty matrix [1,3]. A range of cell-cell interactions leading to microvascular network formation have been proposed [2,4]. However, the cell-based models (cellular potts model) studying these mechanisms, often fail to include factors as opposed by the environment.
    Objective
    We developed a framework for studying the effect of extracellular regulating factors such as chemical gradients, matrix stiffness, interstitial flow, coupled with cellular component in a single model for predicting the evolution of microvascular network in a given geometry.
    Methods
    An hybrid cellular potts – partial differential equation (CPM-PDE) model is presented to study the microvascular network formation. This hybrid model consisting of a CPM component for cellular representation, and a PDE component solving mathematical equations for the distribution of chemicals. Individual cells are represented in a 2D discrete space. The cells secrete and react to chemicals in their environment, which diffuse and decay in the ECM.
    Results and Discussion
    The model in this study is based upon the previous work of the lab of Roeland Merks.We modeled the network formation in a microfluidic device setting as shown in figure. From the cells seeded in the hydrogel matrix and their local interactions, network structures emerge. The shapes of arising structures are studied and correlated to calculated properties and parameter values. New boundary conditions were set-up as to be comparable to experimental data and an external Vascular Endothelial Growth Factor (VEGF) source was added.
    Figure. Modeling chemotaxis of microvascular angiogenesis
    Future plans
    We anticipate our model framework to be a starting point for more sophisticated experimental driven (microfluidic-based) insilico testing tool for tissue engineering applications. For example, the possible addition of aptamer binding kinetics coupled to the mechano-chemical parameters could be used to study the network organization within a spatiotemporal controlled growth factor release system. This would help us to predict the emerging network types within the tissue constructs of specific extracellular regulating parameter values. Furthermore, it would be used to design the quantitative assay for in vitro testing.
    References
    1. J T Daub and R M H Merks, A Cell-based model of extracellular-matrix guided endothelial cell migration during angiogenesis, Bull Math Biol, 2013
    2. R F M van Oers et.al., Mechanical cell-matrix feedback explains pairwise and collective endothelial cell behavior in vitro, PLoS One, 2014
    3. Y Abe et.al., Balance of interstitial flow magnitude and vascular endothelial growth factor concentration modulates three-dimensional microvascular network formation, APL Bioeng, 2019
    4. Xu Z et.al., A multiscale model of thrombus development, J.R.Soc.Interface, 2008
    Acknowledgements
    This work is supported by an ERC Consolidator Grant under grant agreement no 724469
    Original languageEnglish
    Pages49-49
    Number of pages112
    Publication statusPublished - 21 Nov 2019
    Event28th NBTE Annual Meeting 2019 - De Werelt , Lunteren, Netherlands
    Duration: 21 Nov 201922 Nov 2019
    Conference number: 28
    https://nbte.nl/annual-meeting/general-information

    Conference

    Conference28th NBTE Annual Meeting 2019
    CountryNetherlands
    City Lunteren
    Period21/11/1922/11/19
    Internet address

    Fingerprint

    Tissue engineering
    Endothelial cells
    Blood vessels
    Stiffness matrix
    Microfluidics
    Hydrogels
    Potts model
    Tissue
    Military electronic countermeasures
    Testing
    Partial differential equations
    Flow of fluids
    Assays
    Boundary conditions
    Feedback
    Kinetics
    Geometry
    Intercellular Signaling Peptides and Proteins

    Keywords

    • insilico models
    • cellular potts model
    • Tissue engineering
    • vascular cells

    Cite this

    Padmanaban, P., Wageningen University & Research, Wageningen University & Research, Leiden University, & Rouwkema, J. (2019). Virtual angiogenesis : mathematical and multiphysics approach for directed tissue engineering. 49-49. Abstract from 28th NBTE Annual Meeting 2019 , Lunteren, Netherlands.
    Padmanaban, Prasanna ; Wageningen University & Research ; Wageningen University & Research ; Leiden University ; Rouwkema, J. / Virtual angiogenesis : mathematical and multiphysics approach for directed tissue engineering. Abstract from 28th NBTE Annual Meeting 2019 , Lunteren, Netherlands.112 p.
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    Padmanaban, P, Wageningen University & Research, Wageningen University & Research, Leiden University & Rouwkema, J 2019, 'Virtual angiogenesis : mathematical and multiphysics approach for directed tissue engineering' 28th NBTE Annual Meeting 2019 , Lunteren, Netherlands, 21/11/19 - 22/11/19, pp. 49-49.

    Virtual angiogenesis : mathematical and multiphysics approach for directed tissue engineering. / Padmanaban, Prasanna ; Wageningen University & Research; Wageningen University & Research; Leiden University ; Rouwkema, J.

    2019. 49-49 Abstract from 28th NBTE Annual Meeting 2019 , Lunteren, Netherlands.

    Research output: Contribution to conferenceAbstract

    TY - CONF

    T1 - Virtual angiogenesis : mathematical and multiphysics approach for directed tissue engineering

    AU - Padmanaban, Prasanna

    AU - Rouwkema, J.

    PY - 2019/11/21

    Y1 - 2019/11/21

    N2 - BackgroundAdding a blood vessel network to cultured tissues is an essential step for clinical application. A physiological organization of these networks is important for the functioning of the blood vessels. Endothelial cells seeded in a hydrogel can give rise to microvascular networks. In reaction to external chemical (growth factor gradients) and mechanical forces (matrix stiffness, interstitial fluid flow), the networks grow into adjacent empty matrix [1,3]. A range of cell-cell interactions leading to microvascular network formation have been proposed [2,4]. However, the cell-based models (cellular potts model) studying these mechanisms, often fail to include factors as opposed by the environment.ObjectiveWe developed a framework for studying the effect of extracellular regulating factors such as chemical gradients, matrix stiffness, interstitial flow, coupled with cellular component in a single model for predicting the evolution of microvascular network in a given geometry.MethodsAn hybrid cellular potts – partial differential equation (CPM-PDE) model is presented to study the microvascular network formation. This hybrid model consisting of a CPM component for cellular representation, and a PDE component solving mathematical equations for the distribution of chemicals. Individual cells are represented in a 2D discrete space. The cells secrete and react to chemicals in their environment, which diffuse and decay in the ECM.Results and DiscussionThe model in this study is based upon the previous work of the lab of Roeland Merks.We modeled the network formation in a microfluidic device setting as shown in figure. From the cells seeded in the hydrogel matrix and their local interactions, network structures emerge. The shapes of arising structures are studied and correlated to calculated properties and parameter values. New boundary conditions were set-up as to be comparable to experimental data and an external Vascular Endothelial Growth Factor (VEGF) source was added.Figure. Modeling chemotaxis of microvascular angiogenesisFuture plansWe anticipate our model framework to be a starting point for more sophisticated experimental driven (microfluidic-based) insilico testing tool for tissue engineering applications. For example, the possible addition of aptamer binding kinetics coupled to the mechano-chemical parameters could be used to study the network organization within a spatiotemporal controlled growth factor release system. This would help us to predict the emerging network types within the tissue constructs of specific extracellular regulating parameter values. Furthermore, it would be used to design the quantitative assay for in vitro testing.References1. J T Daub and R M H Merks, A Cell-based model of extracellular-matrix guided endothelial cell migration during angiogenesis, Bull Math Biol, 20132. R F M van Oers et.al., Mechanical cell-matrix feedback explains pairwise and collective endothelial cell behavior in vitro, PLoS One, 20143. Y Abe et.al., Balance of interstitial flow magnitude and vascular endothelial growth factor concentration modulates three-dimensional microvascular network formation, APL Bioeng, 20194. Xu Z et.al., A multiscale model of thrombus development, J.R.Soc.Interface, 2008AcknowledgementsThis work is supported by an ERC Consolidator Grant under grant agreement no 724469

    AB - BackgroundAdding a blood vessel network to cultured tissues is an essential step for clinical application. A physiological organization of these networks is important for the functioning of the blood vessels. Endothelial cells seeded in a hydrogel can give rise to microvascular networks. In reaction to external chemical (growth factor gradients) and mechanical forces (matrix stiffness, interstitial fluid flow), the networks grow into adjacent empty matrix [1,3]. A range of cell-cell interactions leading to microvascular network formation have been proposed [2,4]. However, the cell-based models (cellular potts model) studying these mechanisms, often fail to include factors as opposed by the environment.ObjectiveWe developed a framework for studying the effect of extracellular regulating factors such as chemical gradients, matrix stiffness, interstitial flow, coupled with cellular component in a single model for predicting the evolution of microvascular network in a given geometry.MethodsAn hybrid cellular potts – partial differential equation (CPM-PDE) model is presented to study the microvascular network formation. This hybrid model consisting of a CPM component for cellular representation, and a PDE component solving mathematical equations for the distribution of chemicals. Individual cells are represented in a 2D discrete space. The cells secrete and react to chemicals in their environment, which diffuse and decay in the ECM.Results and DiscussionThe model in this study is based upon the previous work of the lab of Roeland Merks.We modeled the network formation in a microfluidic device setting as shown in figure. From the cells seeded in the hydrogel matrix and their local interactions, network structures emerge. The shapes of arising structures are studied and correlated to calculated properties and parameter values. New boundary conditions were set-up as to be comparable to experimental data and an external Vascular Endothelial Growth Factor (VEGF) source was added.Figure. Modeling chemotaxis of microvascular angiogenesisFuture plansWe anticipate our model framework to be a starting point for more sophisticated experimental driven (microfluidic-based) insilico testing tool for tissue engineering applications. For example, the possible addition of aptamer binding kinetics coupled to the mechano-chemical parameters could be used to study the network organization within a spatiotemporal controlled growth factor release system. This would help us to predict the emerging network types within the tissue constructs of specific extracellular regulating parameter values. Furthermore, it would be used to design the quantitative assay for in vitro testing.References1. J T Daub and R M H Merks, A Cell-based model of extracellular-matrix guided endothelial cell migration during angiogenesis, Bull Math Biol, 20132. R F M van Oers et.al., Mechanical cell-matrix feedback explains pairwise and collective endothelial cell behavior in vitro, PLoS One, 20143. Y Abe et.al., Balance of interstitial flow magnitude and vascular endothelial growth factor concentration modulates three-dimensional microvascular network formation, APL Bioeng, 20194. Xu Z et.al., A multiscale model of thrombus development, J.R.Soc.Interface, 2008AcknowledgementsThis work is supported by an ERC Consolidator Grant under grant agreement no 724469

    KW - insilico models

    KW - cellular potts model

    KW - Tissue engineering

    KW - vascular cells

    M3 - Abstract

    SP - 49

    EP - 49

    ER -

    Padmanaban P, Wageningen University & Research, Wageningen University & Research, Leiden University , Rouwkema J. Virtual angiogenesis : mathematical and multiphysics approach for directed tissue engineering. 2019. Abstract from 28th NBTE Annual Meeting 2019 , Lunteren, Netherlands.